Robust preconditioners for a new stabilized discretization of the poroelastic equations [PDF]
In this paper, we present block preconditioners for a stabilized discretization of the poroelastic equations developed in [45]. The discretization is proved to be well-posed with respect to the physical and discretization parameters, and thus provides a ...
Adler, James H. +5 more
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Inequalities in Triangular Norm-Based ∗-fuzzy ( L + ) p Spaces
In this article, we introduce the ∗-fuzzy (L+)p spaces for 1 ...
Abbas Ghaffari +2 more
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Four Types of Fixed-Point Theorems for Multifunctions in Probabilistic Metric Spaces
An overview of fixed-point theorems (F.P.T.s) for multifunctions in probabilistic metric spaces is given. Extensions of the fixed-point theorems on probabilistic metric spaces of Nadler, Hadžić, Itoh, and Miheţ are presented. In the end, some hints about
Endre Pap
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Joint and Generalized Spectral Radius of Upper Triangular Matrices with Entries in a Unital Banach Algebra [PDF]
In this paper, we discuss some properties of joint spectral {radius(jsr)} and generalized spectral radius(gsr) for a finite set of upper triangular matrices with entries in a Banach algebra and represent relation between geometric and joint/generalized
Hamideh Mohammadzadehkan +2 more
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Generalized Auto-Convolution Volterra Integral Equations: Numerical Treatments
In this paper, we use the operational Tau method based on orthogonal polynomials to achieve a numerical solution of generalized autoconvolution Volterra integral equations.
Mahdi Namazi Nezamabadi, Saeed Pishbin
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The aim of this paper is to give some fixed point results in generalized Menger probabilistic metric spaces. Moreover, some nontrivial examples are presented to illustrate the superiority of the obtained results.
Huaping Huang +3 more
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Triangular norm-based intuitionistic fuzzy BE-algebras and filters [PDF]
In this paper, intuitionistic fuzzy BE-algebra that a generalization of the BCK-algebra is introduced with respect to t-norms and t-conorms. The various algebraic properties of triangular norm-based intuitionistic fuzzy BE-algebras are studied in detail,
Sinem Tarsuslu (Yılmaz)
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Prediction of cancer using customised fuzzy rough machine learning approaches
This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick reduct algorithm. The unbalanced data is balanced using synthetic minority oversampling technique.
Chinnaswamy Arunkumar +2 more
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Multimodel biometrics Fusion based on FAR and FRR using Triangular Norm [PDF]
Multibiomitric systems are expected to be more accurate due to the presence of multiple evidences, score level fusion is the most commonly used approach in multibiometrics.
Di Wu, Jie Cao
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Using Dual Double Fuzzy Semi-Metric to Study the Convergence
Convergence using dual double fuzzy semi-metric is studied in this paper. Two types of dual double fuzzy semi-metric are proposed in this paper, which are called the infimum type of dual double fuzzy semi-metric and the supremum type of dual double fuzzy
Hsien-Chung Wu
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